This text delves into optimizing data pipelines using Redpanda Connect by transitioning from streaming individual messages to S3 into batching multiple messages into single JSON array files, significantly improving performance and efficiency for downstream applications. It highlights the advantages of this approach over simpler workflows, emphasizing reduced overhead and enhanced scalability, and provides a step-by-step guide on implementing this method, including deploying a Redpanda Connect pipeline with specific YAML configurations. The text advises on best practices for managing the pipeline, such as stopping it when not in use to avoid unnecessary charges and suggests exploring more advanced data formats like Parquet for better performance in analytics-focused use cases. It is part of a series exploring various aspects of integrating Redpanda with Amazon S3 and offers community support for further inquiries.